Palantir Foundry Data Engineer (remote)

This remote position is open to any qualified applicant in the United States.

• Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
  
  

Practice - AIA - Artificial Intelligence and Analytics

About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies!

By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models! Cognizant’s AIA practice takes insights that are buried in data and provide businesses with a clear way to transform how they source, interpret, and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.

Job Summary

As an Agile development team member, you will have influence over the development of new Palantir applications. Provide third-level technical support to resolve complex customer issues on Palantir applications. Collaborate with Tier 1 and Tier 2 support teams to troubleshoot train and find solutions.

Responsibilities

• Periodically act as final line of support on Palantir applications related issues.
• You will collaborate with Product Owners and other team members on subjects from design to deployment.
• Strong experience in Palantir Foundry
• Design and develop data ingestion templates and ETL processes within Palantir Foundry
• Collaborate with domain consumers to build domain-specific data applications using Palantir Foundry tools such as Quiver Vertex Workshop and Object Explorer pipeline builder etc.
• Create and maintain an ontology structure as per data requirements.
• Solution and implement data management controls including data quality role based access data classification & data archiving as part of data ingestion and building the Ontology.
• Develop & maintain monitoring solution to track data pipeline statistics and enable proactive issue detection and resolution.
• Broad software development skills ranging from software development to data engineering.
• Implement solutions in collaboration with end-users.
• BS/MS degree in Computer Science Engineering or a related subject or related experience.
• Hands-on web development experience required including HTML5 and CSS.
• Hands-on application data analytics and data transformation development experience with JavaScript/TypeScript Java Python PySpark and SQL required.
• Experience working within Agile/Scrum development teams Agile tools like Team Services or JIRA and IDEs like VS Code and source control in Azure DevOps or Git
• Detail-oriented drive for accuracy and completeness for data pipeline processing.
• Experience with UX/UI design is a plus
  
  

Salary And Other Compensation

Applications will be accepted until 25th Oct 2024.

The annual salary for this position is between $137,500- $161,500 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program and stock awards, based on performance and is subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan
  
  

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.